About This Architecture

Azure medallion data architecture ingests raw data from on-premises SQL Server and Azure Blob Storage via Azure Data Factory into a three-layer ADLS Gen2 storage account. Bronze, Silver, and Gold layers progressively transform raw unstructured data into cleaned, conformed, and aggregated business-level datasets using Azure Databricks Spark Notebooks. This layered approach enforces data quality governance and enables self-service analytics while maintaining a single source of truth. Fork this diagram on Diagrams.so to customize ingestion sources, add transformation logic, or integrate additional Azure services like Synapse Analytics. The medallion pattern is ideal for organizations modernizing legacy data warehouses while preserving on-premises data sources.

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How do I build a medallion architecture on Azure with ADLS Gen2 and Databricks?

This diagram shows a medallion pattern using Azure Data Factory to ingest data from on-premises SQL Server and Blob Storage into ADLS Gen2 Bronze layer, then Azure Databricks Spark Notebooks transform data through Silver and Gold layers, finally delivering aggregated datasets to Power BI dashboards for analytics.

Azure Medallion Data Architecture

MultiintermediateAzureData EngineeringMedallion ArchitectureADLS Gen2DatabricksData Lake
Domain: Data EngineeringAudience: Data engineers building medallion architectures on Azure
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Created by

August 13, 2026

Updated

August 14, 2026 at 1:42 AM

Type

architecture

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